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113
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IJCAI
2007
15 years 3 months ago
Optimistic Active-Learning Using Mutual Information
An “active learning system” will sequentially decide which unlabeled instance to label, with the goal of efficiently gathering the information necessary to produce a good cla...
Yuhong Guo, Russell Greiner
114
Voted
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
15 years 3 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
NIPS
2004
15 years 3 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
COLING
1996
15 years 3 months ago
Learning to Recognize Names Across Languages
The development of natural language proccssing (NLP) systems that perform machine translation (MT) and information retrieval (IR) has highlighted the need for the automatic recogn...
Anthony F. Gallippi
142
Voted
CE
2007
100views more  CE 2007»
15 years 2 months ago
Visualization of participation: Does it contribute to successful computer-supported collaborative learning?
This study investigated the effects of visualization of participation during computer-supported collaborative learning (CSCL). It is hypothesized that visualization of participat...
Jeroen Janssen, Gijsbert Erkens, Gellof Kanselaar,...